From the development of data -driven organizations, look at the three common trends of digital new infrastructure

Text | Intelligence Relatration

Author | Ye Yuanfeng

The wave of new infrastructure rushing has spawned a new opportunity for innovation and development, and this process is accompanied by the transformation and upgrading of a large number of government -enterprise organizations. Therefore, the number of new infrastructure has become an important theme of the times. TO B business and other forms try to get business opportunities.

On the digital new infrastructure track, different participants show different players. Some of them start from the construction of basic hardware systems, some focus on the construction of underlying data systems, and some are more closely fitted with business, and innovation is constantly appearing. For example, the number of love conferences was held not long ago, and it was committed to the implementation of the "data -driven organization". It was a rare industry in the industry that tried to put this concept that had been implemented very early.

As the manufacturers complete the formation of troops, no matter how to enter the digital new infrastructure, some of the special requirements of digital new infrastructure are forced, their play also shows some common characteristics. These characteristics will help the industry better Geographical development logic of new infrastructure.

Specifically, this "different way to return" includes three dimensions.

Focus on the "special long": the core needs of the new digital new infrastructure in the middle, highlight the core value capacity

The first thing to engage in digital new infrastructure is the first thing to pay attention to how to provide customers with attractive value of digital new infrastructure. No matter what each manufacturer does, it must have their own "special", which is the prerequisite for winning the customer's choice. Huawei's new computing, Tencent's hybrid cloud architecture innovation, Shangtang Technology's artificial intelligence infrastructure "Sensecore Shang Tang AI Large Device", "domain cognitive intelligence" of love numbers, knowledge map of Mingluo Technology "Research Research Base" base "Research and Research Land "... These have become the killer of manufacturers in the era of digital new infrastructure.

Here, the specifically disassembling number of love numbers cognitive intelligence, let's take a look at how the core value of digital new infrastructure manufacturers is displayed step by step.

1. Set the core ability of a cut -off need

What kind of organization can be regarded as a data -driven organization? The answer to the number of love is to use data as the underlying resources and establish a deep -rooted data culture, and use data -driven operation, data -driven innovation, and data -driven decision -making. This requires the organization to effectively use data and transform it into the ability to support business.

How to do it? There may be a lot of methods. Here, the choice of love numbers is to create "domain cognitive intelligence", that is, the technical system that uses artificial intelligence to obtain field knowledge and use the field of knowledge to complete the task in the field, so as to achieve the foundation of the foundation The data resources are transformed into the ability to promote business development in various scenarios.

Visible, this process is to "anthropomorphic" -an ordinary person with IQ, after obtaining information from the external world, can identify this information, and then select the benefit of itself and establish a logical relationship. It becomes your own knowledge, which can make life arrangements more reasonable, make work decisions more basically basically, and eventually make life better, instead of storing all information in the brain for mechanical retelling. In the end, the domain cognitive intelligence can make a government -enterprise organization into an individual who can have IQ and cognitive people like a natural person.

2. Through technological innovation to achieve this core ability

It can be seen that the realization of cognitive intelligence in the field requires a huge gap between "cold data" and "cognitive intelligence with business value".

ANYDATA: Cognitive intelligent framework based on the field of knowledge network is born.

In the past, the number of love was based on the construction of big data infrastructure based on the three product lines of Anybackup, Anyshare, and Anyrobot. Simply put, they mainly help "perception" of data, a bit like human "left brain". And the ANYDATA that started in 2019, under the layout of the number of love, has the ability to "cognitive", a bit like a human "right brain". Enterprises can turn the cold data stored through the code into vitality through the code into vitality. The knowledge of the enterprise "has its own views and ideas", and can provide explanations for decision -making, "know it and know why", and finally promote the improvement of the business capabilities of the enterprise.

Through AnyData, companies will realize the automatic accumulation of internal data and transform into knowledge with business logic. Knowledge will eventually provide a basis for leaders to make decisions and judgments. Organizations with huge and systematic data systems no longer "die" in the past and cannot finally form their own views and ideas. Now, the more an organization "reading", the stronger the ability -this is the data driver The shape of the organization should have.

At this SMART conference, the newly released AnyData Framework 2 can not only help companies strengthen the use of data, drive innovation with data, but also allow users to perceive the level And further optimize.

3. Show the value of this core ability in the specific scene

With ANYDATA's assists, the number of love is no longer just serving the organization of data, but can more deepen the business layer to make the data -driven organization truly landing.

At present, the number of love has been displayed in the "field cognitive intelligence" in the scenario of smart cities. For example, the number of love has carried out strategic cooperation with the Sino -Singapore Tianjin Ecological City around the smart city. AnyData's data and technical advantages continue to empower the smart business of ecological city. In this case, data input from the internal government data (strong association parts) and external enterprise data (weak association parts) provided by the city's committees and bureaus. The knowledge network composed of graphics, industrial element knowledge bases, etc., ultimately help promote the formation of cognitive intelligence that is such as urban management.

Under this cognitive intelligence, investment promotion can become more accurate, and companies that can automatically recommend stealth championships and potential bidding bids based on the actual situation of the industrial chain. Investment objects for development requirements. In addition, in the process of urban industrial operations, based on policy maps, they can intelligently push to companies to match their policies to achieve better urban industrial services. develop. With the gradual advancement of the urban industry, this cognitive intelligence can also conduct industrial and economic analysis. The level of expert -level information and knowledge in the field, based on the multi -dimensional elements of key industries and enterprises, combined with regional economic models, do more Intelligent association analysis and prediction to help the urban industry operations better optimize policy.

In addition to smart cities, intelligent cognitive intelligence promoted by ANYDATA is also applied in many scenarios, for example, to solve the after -sales problems of very professional products, accurately position the failure of IT devices, and even solve the query of the amount reimbursement in daily work. Planting details.

At present, under the blessing of AnyData, the number of love is still exploring the sharing of knowledge networks in the field, hoping to promote the prosperity and development of the data element market. For example, the number of love has launched the data industry model based on the field of knowledge network. In addition to the establishment of a closed loop from data production to consumer applications, it also proposes a pricing model based on data element value pyramid. This model can face the global data trading network in the field. Realize large -scale data transactions and applications, thereby solving the efficiency and pain points facing the marketization of data factors.

There are reasons to believe that the depth and breadth of field cognitive intelligence will be further expanded in the depth and breadth of scene applications.

To sum up, the value of cognitive intelligence in the field of love numbers is "special". It can be found that the major era of digital new infrastructure, companies that can contribute to the development of the digital economy have gradually formed their own differentiated core capabilities. Capability creates a differentiated value for customers.

Full stack "Open": Break the differences in endowment conditions of government and enterprises, break through the differentialization of the bottom layer, and embrace the diversification of surface layers

The market situation facing digital new infrastructure is undoubtedly complicated.

On the one hand, government -enterprise organizations have various organizational structures, resources, and digital foundations. Manufacturers must adapt to these extremely complicated "front conditions"; on the other hand, different application requirements in different scenarios have different application requirements The manufacturer's digital new infrastructure system must be able to ensure that the application of various personalized scenarios has adaptability.

Therefore, the new infrastructure of manufacturers cannot be made into "potted plants", but must be "land" that can grow various plants.

In this context, almost all digital new infrastructure, whether it is self -built full stack system or technically incorporated into the industry's full stack system, is "open" and flattened political enterprises with platform -oriented aspects. The underlying conditions of the organization are different and support the emergence of various personalized scenarios.

For example, Huawei cut into digital new infrastructure with new computing, and its most important feature of the AI ​​computing architecture of Shengteng full stack is that the Cann heterogeneous computing architecture can adapt to various hardware resources of government and enterprises, and the unified output of these resources into upper -level applications needs Computing power resources. In the application layer, Shengteng supports the development of various scenarios through the application. For example, NetEase's sail has always emphasized the opening of its architecture, and the data research and development and data provided by customers can be set up on the basic software that the customer existing -no matter what type.

And the number of love, in the process of promoting the establishment of a data -driven organization, also pays great attention to this openness. The proposal of its neutral strategy is to make the number of digital new infrastructure not need to care about the original cloud environment. Can be able to accept the technical system that receives love. In addition, the number of love numbers also launched, including non -structural data, China Taiwan, Data disaster recovery Zhongtai, intelligent operation and maintenance Zhongtai, and knowledge Zhongtai. These Zhongtai have removed the differences in customer conditions, and also match the needs of the entire data scenario. In addition, Ai Number has released the "Global Data Governance White Paper", which proposes the strategy of governance and instant governance in the entire region, improves data governance ROI, comprehensively improves the accessability of data quality and data, and helps organizations calmly achieve comprehensive data -driven.

It can be said that under the open structure of digital new infrastructure manufacturers, the threshold for digital transformation of government and enterprises is constantly decreasing, and the inclusiveness of digital new infrastructure is accelerating.

Expand "Ecology": Widely unite partners and promote the optimization of long -term development environment

In the process of digital new infrastructure, almost all manufacturers have embarked on the road of "decentralized" ecological construction. This is very different from the centralized ecology in the C -C -C -consumer market. Construction of manufacturers as the center, manufacturers of digital new infrastructure exist more as a link to promote ecology and as an ecology. Taking Huawei as an example, whether it is a developer or a hardware manufacturer, Huawei just puts himself in the position of supporters. Many times the solution is launched as an ecological partner.

The practice of love numbers is also similar. The digital partner plan emphasizes the growth of customers and partners' capabilities. ability.

At the SMART conference, Ai Number released its digital partner plan 2.0 to help customers grow in a comprehensive, full system, and whole link with a co -creation, sharing, and win -win attitude. The past is often the content that the customer itself is responsible. By providing professional data governance products, technologies, professional services and professional talents for corporate C -level leaders, let data empower business, truly become the core element of digitalization.

More and more digital new infrastructure manufacturers are on such a path, get rid of the location of the ecological center, no longer "horseshomes", and truly enter enterprises and approach business, help companies grow in all directions and realize digital transformation. Under this common trend, there are reasons to believe that the accelerated development of the digital economy is now, and the landing of digital new infrastructure will be thicker and powerful.

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